Premium
E‐maintenance platform design for public infrastructure maintenance based on IFC ontology and Semantic Web services
Author(s) -
Hu Min,
Liu Yunru
Publication year - 2019
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.5204
Subject(s) - ontology , computer science , semantic web , building information modeling , semantic technology , work (physics) , maintenance actions , set (abstract data type) , service (business) , information model , knowledge management , process management , risk analysis (engineering) , world wide web , social semantic web , engineering , software engineering , business , reliability engineering , mechanical engineering , philosophy , epistemology , compatibility (geochemistry) , marketing , chemical engineering , programming language
Summary As an important kind of infrastructure, a tunnel's life is estimated to be 100 years or more. During its service life, an effective maintenance strategy plays an essential role in keeping its availability and safety. Maintenance work involves a set of participants, activities, and resources, and in this case, tunnel‐related data are distributed to heterogeneous information management systems in varying formats, bringing difficulties to implement effective maintenance. This paper proposes an E‐maintenance Framework for Public Infrastructure (EFPI), combining Building Information Modeling (BIM), Industry Foundation Classes (IFC), and Semantic Web technologies to help integrate heterogeneous data and expert knowledge, enable information sharing through the whole life cycle, and support maintenance managers to make effective maintenance decisions. A cost estimation case is provided in this paper to illustrate the implementation mechanism and validate the proposed approach.